🛠 Tech Stack

💼 About This Role

You'll join Ebury's Data Ecosystem, building infrastructure for AI and ML models to drive the Gen-AI revolution in fintech. Your work will directly enable business growth through innovative data pipelines. This role offers autonomy to propose high-impact projects.

🎯 What You'll Do

• Design and deploy ELT/ETL pipelines from diverse sources
• Build infrastructure for ML models and LLM-powered agents
• Partner with stakeholders to identify high-impact opportunities
• Apply software engineering best practices for scalability

📋 Requirements

• Python mastery with 5+ years of experience
• SQL expertise for complex data transformations
• Experience with Airflow or similar orchestration tools
• Proficiency in GCP cloud services (GKE, Cloud Run, etc.)

✨ Nice to Have

• Hands-on experience with LLMs or Vector Databases
• Knowledge of DuckDB or DLT
• Strong foundations in Dimensional Modeling and Data Warehousing

🎁 Benefits & Perks

• 💰 Performance-based bonus
• 🏢 Hybrid work (4 days office / 1 day remote)
• 📚 Continuous learning via certifications and training
• 🧑‍💻 Open Source culture with external contribution support
• 🌍 Collaborative team with Data Scientists and Analysts

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min